code: def __init__(self, globals_dict: dict) -> None:
      super().__init__(
          id="db",
          name="Davies-Bouldin",
          score_func=metrics.davies_bouldin_score,
      )
  
imports: from typing import Any, Dict, Optional, Union
  from sklearn import metrics
  from sklearn.metrics._scorer import _BaseScorer
  import pycaret.containers.base_container
  import pycaret.internal.metrics
  from pycaret.containers.metrics.base_metric import MetricContainer
label_desc: Use image node_id 1 to create a new DBMetricContainer object from inherited base classes: ClusterMetricContainer with example: obj = DBMetricContainer(globals_dict)